2 edition of **analysis of the two-dimensional particle-in-cell method** found in the catalog.

analysis of the two-dimensional particle-in-cell method

M. A. Kaplan

- 56 Want to read
- 35 Currently reading

Published
**1966**
by Rand Corporation in Santa Monica, Calif
.

Written in English

- Nuclear explosions.,
- Hydrodynamics.

**Edition Notes**

Bibliography: p. 43.

Statement | M.A. Kaplan and R.A. Papetti. |

Series | Memorandum -- RM-4876-PR, Research memorandum (Rand Corporation) -- RM-4876-PR.. |

Contributions | Papetti, R. A. |

The Physical Object | |
---|---|

Pagination | ix, 43 p. ; |

Number of Pages | 43 |

ID Numbers | |

Open Library | OL17984822M |

Sturdevant B, Parker S, Chen Y and Hause B () An implicit δf particle-in-cell method with sub-cycling and orbit averaging for Lorentz ions, Journal of Computational Physics, C, (), Online publication date: 1-Jul Abstract. A two-dimensional model for simulation of gas discharges along a resin insulator in SF 6 /N 2 gas mixtures is developed by means of the Particle-in-cell and Monte Carlo (PIC-MCC) approach. The electron swarm and the following streamer developments are fully simulated, in which the elastic, exciting, ionising and attaching collisions between electrons and neutral gas molecules are.

From to late s, this group developed a variety of numerical methods to simulate transient two-dimensional fluid flows, such as Particle-in-cell method (Harlow, ), Fluid-in-cell method (Gentry, Martin and Daly, ), Vorticity stream function method (Jake Fromm, ), and Marker-and-cell method (Harlow and Welch, ). We perform two- dimensional, particle-in-cell simulations of this instability. We observe an initial growth of circularly polarized nonpropagating magnetic waves as predicted in linear theory. It is demonstrated that in some cases the magnetic energy density in the growing waves can .

Brackbill, J.U. and H.M. Ruppel (), Flip: A method for adaptively zoned, Particle-in-cell calculations of fluid flows in two dimensions, J. Comp. Phys. 65, p. . medium has been studied by means of two-dimensional particle-in-cell simulations. The initial conditions involve a density jump by a factor of , located in the middle of an otherwise equally dense electron–proton plasma with uniform proton and electron temperatures of 10eV and 1keV, respectively.

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The particle-in-cell (PIC) method refers to a technique used to solve a certain class of partial differential this method, individual particles (or fluid elements) in a Lagrangian frame are tracked in continuous phase space, whereas moments of the distribution such as densities and currents are computed simultaneously on Eulerian (stationary) mesh points.

An Analysis of the Two-Dimensional Particle-in-Cell Method. by Morton A. Kaplan, R. Papetti. Related Topics: Science and Technology; The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis.

RAND's publications do not necessarily reflect the opinions of its research Author: Morton A. Kaplan, R. Papetti. Particle-In-Cell (PIC) is a technique commonly used to simulate motion of charged particles, or plasma.

Here I show you the basics of the method, as applicable to studies of phenomena such as solar wind propagation, or analysis of electric thruster plumes. These discharges are characterized by low plasma densities. Two-dimensional particle-in-cell simulations of transport in a magnetized electronegative plasma E.

Kawamura,a A. Lichtenberg, and M. Lieberman Department of Electrical Engineering, University of California, Berkeley, CaliforniaUSA Received 27 July ; accepted 27 September ; published online 19 November Electrostatic 1D Particle In Cell analysis of the two-dimensional particle-in-cell method book Matlab/Octave of Markidis [9].

PIC Algorithm PIC algorithm is usually used to simulate particle dynamics. This loop requires a bunch of conditions that the coder must include.

Figure 1 shows a diagram of the method. For electrostatic case, Cited by: 1. Particle in Cell Consulting LLC is a small California-based company specializing in providing analysis services to the rarefied gas, plasma propulsion, and contamination control communities.

The company was founded in by Dr. Lubos Brieda. The name of the company is taken from the Particle In Cell Method commonly. Ion noise in output signal in klystron was obtained by particle in cell method.

The phase fluctuation in output signal is caused by the change of the beam current DC velocity which is affected by the change of the ion amount. The phase of output signal changed with the change of beam electron amount. A particle‐in‐cell (PIC) simulation of an axisymmetric electron‐cyclotron‐resonance (ECR) etching tool is developed in which up to 2×10 6 particles per species are loaded in a two‐dimensional spatial computational mesh (r,z), along with three velocity components (v r,v θ,v z).An ECR heating scheme based on single‐particle trajectories in the resonance zone generates the simulated.

TWO-DIMENSIONAL PARTICLE-IN-CELL SIMULATIONS OF THE NONRESONANT, COSMIC-RAY-DRIVEN INSTABILITY IN SUPERNOVA REMNANT SHOCKS Yutaka Ohira1, Brian Reville 2, and Fumio Takahara1 1 Department of Earth and Space Science, Graduate School of Science, Osaka University, Machikaneyama-cho, Toyonaka, OsakaJapan.

A particle-in-cell method for the solution of two-layer shallow-water equations Benoit Cushman-Roisina,*, Oleg E. Esenkovb and Benedict J. Mathiasc a Thayer School of Engineering, Dartmouth College, Hano6er, NHU.S.A. b Rosenstiel School of Marine and Atmospheric Science, Uni6ersity of Miami, Miami, FLU.S.A.

The current tool of choice for modeling these interactions is the particle-in-cell (PIC) method. In strong fields, the motion of charged particles and their spin are effected by RR.

The Particle in Cell (PIC) method is a particle-mesh technique that eciently allows such description. Still, realistic plasma simulations re-quire huge data sets and are computationally expensive. The work of coding this method is simplified by using Particle-In-Cell and parallelization methods already developed for PIC plasma simulations to follow the classical paths.

This method was originally developed by Dean Dauger in a one-dimensional parallel Quantum PIC code. We are currently extending this method into a two-dimensional parallel. Computational fluid dynamics (CFD) is a branch of fluid mechanics that uses numerical analysis and data structures to analyze and solve problems that involve fluid ers are used to perform the calculations required to simulate the free-stream flow of the fluid, and the interaction of the fluid (liquids and gases) with surfaces defined by boundary conditions.

A two-dimensional, incompressible, multiphase particle-in-cell (MP-PIC) method is presented for dense particle flows. The numerical technique solves the governing equations of the fluid phase using a continuum model and those of the particle phase using a Lagrangian model.

Difficulties associated with calculating interparticle interactions for dense particle flows with volume fractions above 5. This second test has proved the ability of the present numerical method to deal with those discharges dominated by the space charge effect.

The results of the PIC simulation are compared with those obtained from the application of a flux-corrected transport method. () A Vortex Particle Method for Two-Dimensional Compressible Flow. Journal of Computational Physics() Vortex Methods for Direct Numerical Simulation of Three-Dimensional Bluff Body Flows: Application to the Sphere at Re=,and () Vortex particle-in-cell method for three-dimensional viscous unbounded flow computations.

International Journal for Numerical Methods in Fluids() Large smoke rings with concentrated vorticity. The numerical solutions of the two-dimensional wave spectra for fundamental and harmonic Langmuir waves are also found to be consistent with those obtained by direct particle-in-cell simulation method reported in the literature.}, doi = {/}, journal = {Physics of Plasmas}, issn = {X}, number = 6, volume = 23, place.

Two-Dimensional particle-in-cell simulations of the nonresonant, cosmic-ray driven instability in SNRshocks Yutaka Ohira1, Brian Reville2, John G.

Kirk2 and Fumio Takahara1 ABSTRACT In supernova remnants, the nonlinear ampliﬁcation of magnetic ﬁelds up-stream of collisionless shocks is essential for the acceleration of cosmic rays to. Harlow, F.H. ()The Particle-in-Cell Computing Method for Fluid Dynamics.

Methods in Computational Physics, 3, Abstract. A two-dimensional, incompressible, multiphase particle-in-cell (MP-PIC) method is presented for dense particle flows. The numerical technique solves the governing equations of the fluid phase using a continuum model and those of the particle phase using a Lagrangian model.Daoru Han, Pu Wang, Xiaoming He, Tao Lin and Joseph Wang, A 3D immersed finite element method with non-homogeneous interface flux jump for applications in particle-in-cell simulations of plasma–lunar surface interactions, Journal of Computational Physics.